Evidence map›Paper›PMID 27591986›Full record

ArticleSocial psychiatry and psychiatric epidemiology2016

Violent typologies among women inpatients with severe mental illness.

Richelle Schaefer, Matthew Broadbent, Matt Bruce

Open access · hybridAbstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Richelle SchaeferKing's College London, Strand, London, WC2R 2LS, UK. richelle.j.schaefer@gmail.com.
Matthew BroadbentKing's College London, Strand, London, WC2R 2LS, UK.
Matt BruceKing's College London, Strand, London, WC2R 2LS, UK.
King's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeExtant severe mental illness (SMI) and physical violence literature focus disproportionately on community-based men samples. To address this empirical imbalance, the current study explored violence towards others and oneself among women inpatients with SMI. As those with SMI are more likely to be victims than perpetrators of violence, victimisation was also an important factor assessed in this study.

methodsThe study used a quantitative within-subject cross-sectional design. Data were extracted from 5675 inpatient women cases between 2009 and 2013.

resultsWomen with a manic disorder (without psychotic features) were 4.5 times, whilst those with psychotic disorders were 2 times, more likely to be physically violent to others compared to those with major mood disorders. Conversely, women with a major mood disorders were 4.8 times and 7.5 times more likely to engage in violence towards oneself (deliberate self-harm), compared to those with psychotic disorder and manic disorders, respectively. The past victimisation increased the likelihood of later physical violence.

conclusionThe data illuminate differential risk factors among women inpatients with SMI that may help predict violence occurring towards others and oneself and allow gender comparisons with the established literature.

Indexed as

AdultBipolar DisorderCross-Sectional StudiesFemaleHumansInpatientsMaleMiddle AgedMood DisordersPsychotic DisordersSelf-Injurious BehaviorViolenceDeliberate self-harm (DSH)Disruptive behavioursPhysical violenceSevere mental illness (SMI)

Identifiers

PMID27591986
PMCPMC5131083
OpenAlexW2516907183

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.